| Title |
Evaluation of an Online Platform for Multiple Sclerosis Research: Patient Description, Validation of Severity Scale, and Exploration of BMI Effects on Disease Course
|
|---|---|
| Published in |
PLOS ONE, March 2013
|
| DOI | 10.1371/journal.pone.0059707 |
| Pubmed ID | |
| Authors |
Riley Bove, Elizabeth Secor, Brian C. Healy, Alexander Musallam, Timothy Vaughan, Bonnie I. Glanz, Emily Greeke, Howard L. Weiner, Tanuja Chitnis, Paul Wicks, Philip L. De Jager |
| Abstract |
To assess the potential of an online platform, PatientsLikeMe.com (PLM), for research in multiple sclerosis (MS). An investigation of the role of body mass index (BMI) on MS disease course was conducted to illustrate the utility of the platform. |
X Demographics
The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 37% |
| United Kingdom | 2 | 11% |
| Switzerland | 2 | 11% |
| Bosnia and Herzegovina | 1 | 5% |
| Israel | 1 | 5% |
| Unknown | 6 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 79% |
| Practitioners (doctors, other healthcare professionals) | 3 | 16% |
| Scientists | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 4% |
| United Kingdom | 2 | 2% |
| Israel | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 100 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 18% |
| Researcher | 17 | 16% |
| Student > Master | 15 | 14% |
| Student > Doctoral Student | 11 | 10% |
| Other | 9 | 8% |
| Other | 16 | 15% |
| Unknown | 21 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 36 | 33% |
| Computer Science | 8 | 7% |
| Nursing and Health Professions | 7 | 6% |
| Psychology | 5 | 5% |
| Neuroscience | 5 | 5% |
| Other | 18 | 17% |
| Unknown | 29 | 27% |